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• Clinical Article •
The diagnostic value of constructing a nomogram mode based on the PI-RADS v2.1 score of Bp-MRI for predicting PSA (4-20 ng/mL) in prostate cancer
ZHANG Ruodi  ZHOU Yunshu  LIU Shili  CHEN Xiaohua  WANG Zhuo  ZHANG Shaoru  CHEN Zhiqiang 

Cite this article as: ZHANG R D, ZHOU Y S, LIU S L, et al. The diagnostic value of constructing a nomogram mode based on the PI-RADS v2.1 score of Bp-MRI for predicting PSA (4-20 ng/mL) in prostate cancer[J]. Chin J Magn Reson Imaging, 2023, 14(10): 84-89. DOI:10.12015/issn.1674-8034.2023.10.015.


[Abstract] Objective To construct a nomogram model for differential diagnosis of prostate cancer (PCa) with PSA (4-20 ng/mL) based on biparametric MRI (bp-MRI) of Prostate Imaging Report and Data System version 2.1 (PI-RADS v2.1) and other clinical indicators such as prostate specific antigen (PSA).Materials and Methods Retrospectively analyzed the data of 206 patients undergoing bp-MRI examination with pathological results between October 2017 and February 2022 in the General Hospital of Ningxia Medical University. The patients were divided into PCa group (n=66) and benign prostatic hyperplasia and / or inflammation group (n=140) according to the pathological results. The independent risk factors of PCa patients with PSA (4-20 ng/mL) were screened by univariate and multivariate logistic regression analysis, then the nomogram model was constructed by R software, and the clinical net benefit was analyzed by decision curve (DCA). Diagnostic performance was evaluated by using the area under the curve (AUC) of receiver operating characteristic (ROC) curve, sensitivity and specificity, and the differences between AUC values were compared by the DeLong test.Results Age, total prostate specific antigen (tPSA), prostate volume (PV), and PI-RADS v2.1 are independent risk factors for predicting PSA (4-20 ng/mL) PCa. The nomogram model based on the above four independent indexes shows the best performance (AUC=0.945), which is significantly higher than that of PI-RADS v2.1 (AUC=0.816), PV (AUC=0.772), tPSA (AUC=0.737) and age (AUC=0.680).Conclusions The diagnostic performance of the nomogram model based on PI-RADS v2.1 score of bp-MRI combined with clinical related indicators is significantly better than that of the single index to predict the PSA (4–20 ng/mL) PCa, and can be used as a non-invasive accurate prediction tool.It will predict the risk probability of PCa more comprehensively and accurately, and provide effective diagnosis and treatment guidance for clinicians.
[Keywords] prostate cancer；prostate specific antigen；Prostate Imaging Reporting and Data Scoring System version 2.1；nomogram；biparametric；magnetic resonance imaging

ZHANG Ruodi1   ZHOU Yunshu1   LIU Shili1   CHEN Xiaohua1   WANG Zhuo1   ZHANG Shaoru1   CHEN Zhiqiang1, 2, 3*  

1 Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750004, China

2 Department of Radiology, the First Hospital Affiliated to Hainan Medical College, Haikou 570102, China

3 Clinical Medicine School of Ningxia Medical University, Yinchuan 750004, China

Corresponding author: CHEN Z Q, E-mail: zhiqiang_chen99@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Key Research and Development Program of Ningxia Hui Autonomous Region (No. 2019BEG03033); Natural Science Foundation Program of Ningxia Hui Autonomous Region (No. 2022AAC03472).
Received  2023-05-18
Accepted  2023-10-07
DOI: 10.12015/issn.1674-8034.2023.10.015
Cite this article as: ZHANG R D, ZHOU Y S, LIU S L, et al. The diagnostic value of constructing a nomogram mode based on the PI-RADS v2.1 score of Bp-MRI for predicting PSA (4-20 ng/mL) in prostate cancer[J]. Chin J Magn Reson Imaging, 2023, 14(10): 84-89. DOI:10.12015/issn.1674-8034.2023.10.015.

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